Cybersecurity Challenges in PV-Hydrogen Transport Networks: Leveraging Recursive Neural Networks for Resilient Operation by Lei Yang, Saddam Aziz, Zhenyang Yu

“…Our research utilizes a novel hierarchical robust optimization model enhanced by Recursive Neural Networks (RNNs) to improve detection rates and response times to cyber incidents across various severity levels. …”
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Integrating AI Deep Reinforcement Learning With Evolutionary Algorithms for Advanced Threat Detection in Smart City Energy Management by Fenghua Liu, Xiaoming Li

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Multi task detection method for operating status of belt conveyor based on DR-YOLOM by Yongan LI, Tengjie CHEN, Hongwei WANG, Zhihao ZHANG

“…The detection of the operating status of underground belt conveyors in coal mines is the key to the safe operation of belt conveyors. …”
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Development of a web service to optimize the work of the traffic management center operator by Tatyana V. Konovalova, Aleksandr A. Izyumskiy, Ivan S. Senin, Kirill V. Tyrgalov, Victoria S. Ivina

“…In this article, the authors describe the development of a web service to optimize the work of the operator of the Traffic Management Center (using the example of Krasnodar), which automatically detects traffic situations that reduce intensity and promptly transmits a signal to the operator, offering options for actions in a specific situation, predicting congestion situations before they occur, depending on the time of day. …”
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Cavitation control in Francis turbines by design optimization across variable operating conditions by Saaif Showkat, Ghulam Ashraful Harmain, Junaid Hassan Masoodi

“…Blade loading profiles were analysed to detect the sudden pressure drops responsible for manifesting cavitation and Elliptic Ratio, the key blade design parameter was optimized to control sudden pressure drops and enhance cavitation resistance of runner. …”
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Concrete crack detection using ridgelet neural network optimized by advanced human evolutionary optimization by Yongqing Lin, Mehdi Ahmadi, Khalid A. Alnowibet, Fawzy A. Bukhari

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Abnormal Operation Detection of Automated Orchard Irrigation System Actuators by Power Consumption Level by Shahriar Ahmed, Md Nasim Reza, Md Rejaul Karim, Hongbin Jin, Heetae Kim, Sun-Ok Chung

“…Analysis of power consumption, control commands, and operating states effectively detected actuator operations, confirming reliability in identifying pump and solenoid valve failures. …”
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Hybrid Optimization and Explainable Deep Learning for Breast Cancer Detection by Maral A. Mustafa, Osman Ayhan Erdem, Esra Söğüt

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Optimization of Configuration Design for Underwater Dam Defect Detection Vehicles by Hong-Xia Cheng, Mei-Jie Cao, Peng-Fei Xu, Yan Kai, Zi-Peng Wang, Gang Wan, Qiao Hu

“…To meet the requirements of underwater dam defect detection, this study develops a streamlined underwater vehicle design and operational framework inspired by bionic principles. …”
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Optimized Detection Algorithm for Vertical Irregularities in Vertical Curve Segments by Rong Xie, Chunjun Chen

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Optimized Microfluidic Biosensor for Sensitive C-Reactive Protein Detection by Amirmahdi Tavakolidakhrabadi, Matt Stark, Alexander Küenzi, Sandro Carrara, Cédric Bessire

“…Experimental results demonstrate that integrating microfluidic technology significantly enhances operational efficiency by precisely controlling the flow rate and optimizing the mixing efficiency while reducing fabrication resources by eliminating the need for separate pads, making these methods suitable for resource-limited settings. …”
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Design and Optimization of Intelligent High-Altitude Operation Safety System Based on Sensor Fusion by Bohan Liu, Tao Gong, Tianhua Lei, Yuxin Zhu, Yijun Huang, Kai Tang, Qingsong Zhou

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An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration by Muhammad Muzamil Aslam, Liyanage Chandratilak De Silva, Rosyzie Anna Awg Haji Mohd Apong, Ali Tufail

“…The method operates in two stages: (1) Optimizing GWO for feature selection to identify relevant features and reduce feature errors, and (2) Utilizing AE for efficient anomaly detection. …”
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LiDAR-Based Optimized Normal Distribution Transform Localization on 3-D Map for Autonomous Navigation by Abhishek Thakur, P. Rajalakshmi

“…The performance of optimized localization is also evaluated on the Kitti odometry benchmark dataset. …”
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Optimizing adult-oriented artificial intelligence for pediatric chest radiographs by adjusting operating points by Hyun Joo Shin, Kyunghwa Han, Nak-Hoon Son, Eun-Kyung Kim, Min Jung Kim, Sergios Gatidis, Shreyas Vasanawala

“…Abstract The purpose of this study was to evaluate whether the optimal operating points of adult-oriented artificial intelligence (AI) software differ for pediatric chest radiographs and to assess its diagnostic performance. …”
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Drone Detection Using YOLOv5 With GhostNet Backbone and Adaptive Fourier Neural Operator (AFNO 2D) by K. Kavin Akash, Uma Kuppusamy

“…This study proposes a lightweight yet high-accuracy drone detection framework based on the YOLOv5 object detection model, enhanced with a GhostNet backbone and Adaptive Fourier Neural Operator (AFNO 2D). …”
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A multi-objective evolutionary algorithm for detecting protein complexes in PPI networks using gene ontology by Mustafa N. Abbas, David Broneske, Gunter Saake

“…This paper presents two primary contributions: First, it proposes a novel multi-objective optimization model for detecting protein complexes, conceptualizing the task as a problem with inherently conflicting objectives based on biological data. …”
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Detection of capsaicin content by near-infrared spectroscopy combined with optimal wavelengths by LÜ Xiaohan, JIANG Jinlin, YANG Jing, CHEN Jianying, CEN Haiyan, FU Hongfei, ZHOU Yifei

“…The above results demonstrate that the near-infrared spectroscopy based on optimal wavelengths is feasible for the detection of capsaicin content.…”
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Optimization of train obstacle detection based on zone media controller unit by ZHOU Liming, HU Jiaqiao, SHEN Tuo

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MRC-DETR: A High-Precision Detection Model for Electrical Equipment Protection in Power Operations by Shenwang Li, Yuyang Zhou, Minjie Wang, Li Liu, Thomas Wu

“…This paper introduces MRC-DETR (Multi-Scale Re-calibration Detection Transformer), a novel framework for detecting Power Engineering Personal Protective Equipment (PEPPE) in complex electrical operating environments. …”
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